ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Construcción de la Escala Likert×Análisis Factorial Confirmatorio para Escalas×
CampoPsicometríaPsicometría
FamiliaProcess / pipelineProcess / pipeline
Año de origen19321969
Autor originalRensis LikertKarl G. Jöreskog
TipoSummated rating scale methodologyConfirmatory factor analysis methodology
Fuente seminalLikert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55. link ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗
AliasLikert summated rating scale, Summated rating scale constructionCFA, Confirmatory factor analysis, Path analysis, Structural equation modeling
Relacionados54
ResumenLikert scale construction is a systematic methodology for developing attitude measurement instruments using summated rating scales. Introduced by Rensis Likert in 1932, it enables researchers to quantify latent constructs such as attitudes, beliefs, and psychological states by aggregating responses across multiple items. The method remains foundational to quantitative social and health sciences research.Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy.
ScholarGateConjunto de datos
  1. v1
  2. 3 Fuentes
  3. PUBLISHED
  1. v1
  2. 3 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: Likert Scale Construction · Confirmatory Factor Analysis for Scales. Recuperado el 2026-06-18 de https://scholargate.app/es/compare